title: Nonlinear radon transform using Zernike moment for shape analysis.
abstract: We extend the linear Radon transform to a nonlinear space and propose a method by applying the nonlinear Radon transform to Zernike moments to extract shape descriptors. These descriptors are obtained by computing Zernike moment on the radial and angular coordinates of the pattern image's nonlinear Radon matrix. Theoretical and experimental results validate the effectiveness and the robustness of the method. The experimental results show the performance of the proposed method in the case of nonlinear space equals or outperforms that in the case of linear Radon.
authors.affiliation: School of Information and Technology, Northwest University, Xi'an 710120, China ; School of Information and Computing Sciences, North University for Nationalities, Yinchuan 750021, China.
authors.forename: Ziping
authors.initials: Z
authors.lastname: Ma
authors.forename: Baosheng
authors.initials: B
authors.lastname: Kang
authors.forename: Ke
authors.initials: K
authors.lastname: Lv
authors.forename: Mingzhu
authors.initials: M
authors.lastname: Zhao
mesh_terms: D019295:Computational Biology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data*